Systems Biology of Aging Group, Institute of Biochemistry of the Romanian Academy, Bucharest, Romania.
The Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Sci Data. 2020 Oct 26;7(1):366. doi: 10.1038/s41597-020-00710-z.
Interventional studies on genetic modulators of longevity have significantly changed gerontology. While available lifespan data are continually accumulating, further understanding of the aging process is still limited by the poor understanding of epistasis and of the non-linear interactions between multiple longevity-associated genes. Unfortunately, based on observations so far, there is no simple method to predict the cumulative impact of genes on lifespan. As a step towards applying predictive methods, but also to provide information for a guided design of epistasis lifespan experiments, we developed SynergyAge - a database containing genetic and lifespan data for animal models obtained through multiple longevity-modulating interventions. The studies included in SynergyAge focus on the lifespan of animal strains which are modified by at least two genetic interventions, with single gene mutants included as reference. SynergyAge, which is publicly available at www.synergyage.info , provides an easy to use web-platform for browsing, searching and filtering through the data, as well as a network-based interactive module for visualization and analysis.
关于长寿遗传调节剂的干预研究极大地改变了老年医学。虽然可用的寿命数据在不断积累，但由于对上位性和多个与长寿相关基因之间的非线性相互作用的理解有限，对衰老过程的进一步理解仍然受到限制。不幸的是，根据迄今为止的观察结果，没有简单的方法可以预测基因对寿命的累积影响。作为应用预测方法的一个步骤，但也为指导设计上位性寿命实验提供信息，我们开发了 SynergyAge——一个包含通过多种长寿调节干预获得的动物模型的遗传和寿命数据的数据库。SynergyAge 中包含的研究重点是通过至少两种遗传干预改变的动物品系的寿命，其中包括单基因突变体作为参考。SynergyAge 可在 www.synergyage.info 上公开获取，它提供了一个易于使用的网络平台，用于浏览、搜索和筛选数据，以及一个基于网络的交互式模块，用于可视化和分析。
